Job Opportunities API

⭐ Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence . AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every pipeline you build, every architecture you improve, and every client challenge you help solve. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges cloud engineering, data platforms, and business decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence . Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role Details 📍 Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office) 💼 Contract: Permanent, Full-time WHAT YOU'LL ARCHITECT: As a Data Engineer Consultant (Fabric) , you will architect and build modern data solutions that enable organizations to transform information into reliable, scalable, and actionable intelligence. Combining hands-on engineering with a consulting mindset, you will collaborate directly with clients to design cloud-native data platforms that deliver measurable business value. Collaborate with clients to understand business objectives and translate technical requirements into scalable data solutions Design, build, and optimize end-to-end data pipelines, lakehouses, and cloud data architectures using Microsoft Fabric and complementary technologies Implement medallion lakehouse architectures that prioritize scalability, governance, data quality, and performance Build and maintain parameterized ingestion frameworks supporting batch and near real-time data processing Develop and operate CI/CD pipelines that enable reliable, automated deployments across multiple environments Promote and apply Microsoft Fabric best practices, reusable patterns, and engineering standards Collaborate with Data Engineers, Analysts, Architects, and business stakeholders to deliver integrated data solutions Continuously evaluate emerging cloud technologies and recommend improvements that strengthen client data ecosystems and delivery capabilities WHO YOU ARE: You see data engineering as the foundation that enables intelligent business decisions You combine strong technical skills with a collaborative and consultative mindset You enjoy solving complex data challenges while designing solutions that are scalable, maintainable, and business-oriented You are comfortable working directly with clients and translating technical concepts into practical recommendations You embrace continuous learning and enjoy exploring modern cloud and data technologies You thrive in multidisciplinary teams where collaboration drives innovation and delivery excellence You balance engineering rigor with pragmatism, always focusing on measurable business outcomes WHAT YOU BRING: Qualifications / Certifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field 3–5 years of experience in Data Engineering or Cloud Data Platform roles delivering end-to-end solutions Experience working in client-facing consulting environments Microsoft Fabric, Azure, Databricks, Snowflake, or cloud data certifications are considered an asset Technical Skills